# Google Kubernetes Engine

RAPIDS can be deployed on Google Cloud via the [Google Kubernetes Engine](https://cloud.google.com/kubernetes-engine) (GKE).

To run RAPIDS you'll need a Kubernetes cluster with GPUs available.

## Prerequisites

First you'll need to have the [`gcloud` CLI tool](https://cloud.google.com/sdk/gcloud) installed along with [`kubectl`](https://kubernetes.io/docs/tasks/tools/), [`helm`](https://helm.sh/docs/intro/install/), etc for managing Kubernetes.

Ensure you are logged into the `gcloud` CLI.

```console
$ gcloud init
```

## Create the Kubernetes cluster

Now we can launch a GPU enabled GKE cluster.

```console
$ gcloud container clusters create rapids-gpu-kubeflow \
  --accelerator type=nvidia-tesla-a100,count=2 --machine-type a2-highgpu-2g \
  --zone us-central1-c --release-channel stable
```

With this command, you’ve launched a GKE cluster called `rapids-gpu-kubeflow`. You’ve specified that it should use nodes of type a2-highgpu-2g, each with two A100 GPUs.

## Install drivers

Next, [install the NVIDIA drivers](https://cloud.google.com/kubernetes-engine/docs/how-to/gpus#installing_drivers) onto each node.

```console
$ kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/cos/daemonset-preloaded-latest.yaml
daemonset.apps/nvidia-driver-installer created
```

Verify that the NVIDIA drivers are successfully installed.

```console
$ kubectl get po -A --watch | grep nvidia
kube-system   nvidia-driver-installer-6zwcn                                 1/1     Running   0         8m47s
kube-system   nvidia-driver-installer-8zmmn                                 1/1     Running   0         8m47s
kube-system   nvidia-driver-installer-mjkb8                                 1/1     Running   0         8m47s
kube-system   nvidia-gpu-device-plugin-5ffkm                                1/1     Running   0         13m
kube-system   nvidia-gpu-device-plugin-d599s                                1/1     Running   0         13m
kube-system   nvidia-gpu-device-plugin-jrgjh                                1/1     Running   0         13m
```

After your drivers are installed, you are ready to test your cluster.

```{include} ../../_includes/check-gpu-pod-works.md

```

## Install RAPIDS

Now that you have a GPU enables Kubernetes cluster on GKE you can install RAPIDS with [any of the supported methods](../../platforms/kubernetes).

## Clean up

You can also delete the GKE cluster to stop billing with the following command.

```console
$ gcloud container clusters delete rapids-gpu-kubeflow --zone us-central1-c
Deleting cluster rapids...⠼
```

```{relatedexamples}

```